1 |
F. D. Davis. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340.
|
2 |
J. W. Moon & Y. G. Kim. (2001). Extending the TAM for a World-Wide-Web context. Information & management, 38(4), 217-230.
DOI
|
3 |
J. Yu, I. Ha, M. Choi & J. Rho. (2005). Extending the TAM for a t-commerce. Information & management, 42(7), 965-976.
DOI
|
4 |
C. L. Hsu & J. C. C. Lin. (2008). Acceptance of blog usage: The roles of technology acceptance, social influence and knowledge sharing motivation, Information & management, 45(1), 65-74.
DOI
|
5 |
H. S. Suh & S. H. Park. (2011). Study on the Innovation Acceptance Characteristics for Digital Convergence Products, Journal of Digital Convergence, 9(4), 51-67.
|
6 |
L. Molteni & A. Ordanini. (2003). Consumption patterns, digital technology and music downloading. Long Range Planning, 36(4), 389-406.
DOI
|
7 |
N. Dufft, A. Stiehler, D. Vogeley & T. Wichmann. (2005). Digital music usage and DRM-results from an European consumer survey. The Informed Dialogue about Consumer Acceptability of DRM Solutions in Europe.
|
8 |
V. Venkatesh, J. Y. Thong & X. Xu. (2012). Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS quarterly, 157-178.
|
9 |
K. S. Kim. (2015). Advertising Contents based on Semiotic Methodology. Journal of the Korea Convergence Society, 6(6), 87-93.
DOI
|
10 |
A. H. Segars & V. Grover. (1993). Re-examining perceived ease of use and usefulness: A confirmatory factor analysis. MIS quarterly, 517-525.
|
11 |
R. Agarwal & J. Prasad. (1997). The role of innovation characteristics and perceived voluntariness in the acceptance of information technologies. Decision sciences, 28(3), 557-582.
DOI
|
12 |
J. C. Roca, C. M. Chiu & F. J. Martinez. (2006). Understanding e-learning continuance intention: An extension of the Technology Acceptance Model. International Journal of human-computer studies, 64(8), 683-696.
DOI
|
13 |
W. Lewis, R. Agarwal & V. Sambamurthy. (2003). Sources of influence on beliefs about information technology use: An empirical study of knowledge workers. MIS quarterly, 657-678.
|
14 |
L. I. Darsono. (2005). Examining information technology acceptance by individual professionals. Gadjah Mada International Journal of Business, 7(2), 155-178.
|
15 |
Y. S. Wang, H. Y. Wang & D. Y. Shee. (2007). Measuring e-learning systems success in an organizational context: Scale development and validation. Computers in Human Behavior, 23(4), 1792-1808.
DOI
|
16 |
S. Taylor & P. A. Todd. (1995). Understanding information technology usage: A test of competing models. Information systems research, 6(2), 144-176.
DOI
|
17 |
L. G. Tornatzky & K. J. Klein. (1982). Innovation characteristics and innovation adoption-implementation: A meta-analysis of findings. IEEE Transactions on engineering management, 1, 28-45.
|
18 |
R. Thompson. (1998). Extending the technology acceptance model with motivation and social factors. AMCIS 1998 Proceedings, 254.
|
19 |
H. Van der Heijden. (2004). User acceptance of hedonic information systems. MIS quarterly, 695-704.
|
20 |
Z. Papacharissi & A. M. Rubin. (2000). Predictors of Internet use. Journal of broadcasting & electronic media, 44(2), 175-196.
DOI
|
21 |
L. M. Flaherty, K. J. Pearce & R. B. Rubin. (1998). Internet and face‐to‐face communication: Not functional alternatives. Communication Quarterly, 46(3), 250-268.
DOI
|
22 |
H. K. Shin, J. H. Hong & K. K. Kim. (2007). The Influence of Website Charateristics on Customer Satisfaction, Customer Loyalty, and Repurchase Intention in Internet Shopping Malls. The Journal of Society for e-Business Studies, 12(1), 41-71.
|
23 |
V. A. Zeithaml. (1988). Consumer perceptions of price, quality, and value: a means-end model and synthesis of evidence. The Journal of marketing, 2-22.
|
24 |
J. W. Kang & S. W. Lee. (2007). A User's Adoption of IPTV under a Preannouncing Circumstance : Predictors to Affect IPTV Adoption and Characteristics of Potential Innovators, Korea Association for Broadcasting & Telecommunication Studies, 21(3), 7-46.
|
25 |
R. Agarwal & E. Karahanna. (2000). Time flies when you're having fun: Cognitive absorption and beliefs about information technology usage, MIS quarterly, 665-694.
|
26 |
B. J. Sohn, D. S. Park & J. W. Choi. (2016). Attitude Confidence and User Resistance for Purchasing Wearable Devices on Virtual Reality: Based on Virtual Reality Headgear, Journal of Intelligence and Information Systems, 22(3), 165-183.
DOI
|
27 |
B. G. Kang, W. B. Lee & S. H. Ryu. (2018). Development of Baekje cultural tourism contents by utilizing portable VR glasses. Journal of the Korea Convergence Society, 9(1), 317-323.
DOI
|
28 |
C. I. Martins. (2013). Exploring Digital Music Online: User acceptance and adoption of online music services, Doctoral dissertation, Instituto Superior de Economia e Gestao.
|
29 |
D. L. Feltz & C. ARiessinger. (1990). Effects of in vivo emotive imagery and performance feedback on self-efficacy and muscular endurance. Journal of Sport and Exercise Psychology, 12(2), 132-143.
DOI
|
30 |
A. D. Stajkovic & F. Luthans. (1998). Self-efficacy and work-related performance: A meta-analysis. Psychological bulletin, 124(2), 240.
DOI
|
31 |
J. G. Park. (2010). Integrative Adoption Model of New Media (IAM-NM), korea communication association, 55(5), 448-479.
|
32 |
J. H. You & C. Park. (2010). A Comprehensive Review of Technology Acceptance Model Researches. Entrue Journal of Information Technology, 9(2), 31-50.
|
33 |
V. Venkatesh & F. D. Davis. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management science, 46(2), 186-204.
DOI
|
34 |
S. H. Oh & S. H. Kim. (2006). Structural relationships among factors affecting usage of internet banking: Focusing on extended technology acceptance model. The Journal of Marketing Research, 21(1), 1-27.
DOI
|
35 |
C. J. Jeong. (2018). Effects of Facebook Advertisement Message's Convergence Type SNS Trait on Brand Attitude, Purchasing Intention. Journal of the Korea Convergence Society, 9(3), 187-201.
DOI
|
36 |
L. M. Lin & H. J. Park. (2017). Effects of Drone Self-Efficacy and Novelty-Seeking on the Perceptions and the Adoption Intention of Drone Delivery Service, The e-Business Studies, 18(5), 91-103.
|
37 |
Y. Jung, B. Perez-Mira & S. Wiley-Patton. (2009). Consumer adoption of mobile TV: Examining psychological flow and media content, Computers in Human Behavior, 25(1), 123-129.
DOI
|
38 |
V. Venkatesh, J. Y. Thong & X. Xu. (2016). Unified theory of acceptance and use of technology: A synthesis and the road ahead.
|
39 |
K. L. Keller. (2001). Building customer-based brand equity: A blueprint for creating strong brands. Marketing Management.
|
40 |
J. N. Sheth. (1971). Affect, behavioral intention, and buying behavior as a function of evaluative beliefs. Insights in consumer and market behavior. Belgium: Namur University Publications.
|
41 |
D. R. Compeau & C. A. Higgins. (1995). Computer self-efficacy: Development of a measure and initial test. MIS quarterly, 189-211.
|
42 |
H. J. Park, K. S. Shin & J. W. Choi. (2017). A Multi-dimensional Structure for User Resistance with the Determinants of Innovative Product Use on Virtual Reality. Journal of Society for e-Business Studies, 21(2), 97-119.
DOI
|